Top programming languages for Machine Learning
Microsoft-owned coding repository, GitHub has published a list of popular programming languagesused for machine learning. While Python continues to hold top position in the list, there are more languages that are bringing efficiency in building machine learning algorithm than just Python.
Here are top machine learning languages, according to GitHub:
1. Python
The language is highly recommended for machine learning due to the availability of repositories. It is the most common language used among machine learning repositories.
sci-kit learn: The library is popularly used for data mining, and data analysis. A wide range of machine learning algorithms are built using sci-kit library.
Machine learning from scratch: Python helps in the implementation of machine learning models and algorithms as it focuses on accessibility. The language aims to cover everything from data mining to deep learning.
Chatterbot: ChatterBot is a machine learning, conversational dialog engine for creating chat bots.
2. C
The language is used for machine learning algorithms due to its fast speed to execute the code. The effective implementation of C++ can help in using this language for building machine learning algorithms.
Tensorflow: Google’s open source machine learning framework Tensorflow is known for its rich APIs and wide variety of language support.
Turi Create: Turi Create simplifies the development of custom machine learning models.
LightGBM: A fast, distributed, high performance gradient framework is based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
3. JavaScript
Machine learning with JavaScript is much easier to learn than with Python. The language is immensely popular as an alternative to Python. Machine learning with JavaScript is much easier to understand than with Python.
Flappy Learning: A program that learns how to play the infamous Flappy Bird game.
AI-Blocks: A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models
ml-5 library: It aims to make machine learning usable by artists and non-technically minded students by offering access to machine learning algorithms and models in the browser.
4. Java
Java is the most widely used programming language in the world, making it an easier choice for machine learning.
Smile: It is a comprehensive system for carrying out machine learning, NLP, linear algebra, and visualization system in Java and Scala.
H20: It is an open source fast and scalable machine learning platform for smarter applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling, Logistic Regression, Elastic Net).
EasyML: Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
5. C#
Data science and machine learning go hand-in-hand. If you are from .NET and C# background, you would love to use C# for machine learning.
ML Agents: This is an open-source plugin for the Unity game engine that enables games and simulations to serve as environments for training intelligent agents.
ML .NET: This is an open source and cross-platform machine learning framework for .NET.